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structured output benchmark

SIFO-Multiturn

SIFO-Multiturn evaluates instruction following capabilities in multi-turn conversational settings, testing how well models maintain context and follow instructions across multiple exchanges.

Updated Aug 11, 2026

Models1
Model coverage1
MetricScore
EvidenceB

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SIFO-Multiturn Ranking

Higher score ranks better on this benchmark.

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1ACQwen3 VL 235B A22B ThinkingAlibaba Cloud / Qwen Team0.711 points100.0%1CAug 11, 2026

SIFO-Multiturn Highlights

The leading models and scores on this benchmark.

Rank #1Qwen3 VL 235B A22B Thinking0.711 points

What is SIFO-Multiturn?

What SIFO-Multiturn measures and how its scores work.

SIFO-Multiturn evaluates instruction following capabilities in multi-turn conversational settings, testing how well models maintain context and follow instructions across multiple exchanges.

Scores are shown in points. This benchmark is not independently verified and has an evidence level of B.

Family
SIFO-Multiturn
Modality
text
Primary category
structured output
Score direction
higher
LLMBoard eligible
No
Evaluation key
sifo-multiturn|llm-stats-current

Benchmark scores retain their original unit. Overall score eligibility is shown separately.

FAQ

Common questions about SIFO-Multiturn.

Which model scores highest on SIFO-Multiturn?

Qwen3 VL 235B A22B Thinking is currently ranked first with 0.711 points.

What does SIFO-Multiturn measure?

SIFO-Multiturn evaluates instruction following capabilities in multi-turn conversational settings, testing how well models maintain context and follow instructions across multiple exchanges.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

1 model results are currently shown.

Does this benchmark affect the overall score?

No. This benchmark is shown for reference but does not contribute to the overall score.

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